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Delve into the Welsh bardic tradition through an academic exploration of poetic criticism and literary analysis in medieval Wales, examining how bards functioned as critics of their craft.
Explore the fascinating interplay between theoretical physics and pure mathematics, from historical connections to modern string theory and unified theories of everything.
Explore how thermodynamics of local causal horizons encodes gravitational dynamics and its implications for understanding quantum gravity effects.
Explore humanity's cosmic quest through Newgrange and JWST, bridging ancient and modern astronomy to unravel our place in the universe.
Explore interpretations of covariant entropy bounds in quantum gravity, examining ontological vs epistemic perspectives and their implications for gravitational phenomena.
Explore a concise mathematical definition of quantum field theory and its implications for physics through a categorical approach to Riemannian manifolds and Hilbert spaces.
Explore gravitational-wave astronomy and its implications for testing General Relativity, focusing on waveform predictions, higher curvature corrections, and numerical simulations in effective field theories of gravity.
Explore novel methods for learning theory-informed priors in Bayesian inference using normalizing flows, with applications to early dark energy models in cosmology.
Explore cutting-edge physics research through student presentations on Hamiltonian Monte Carlo simulations, fundamental constants, and more.
Explore primordial black holes as dark matter candidates, their inflationary origins, and how stochasticity enhances their abundance.
Explore gravitational waves as a probe of the early Universe, covering search status, stochastic background evidence, data analysis challenges, and new high-frequency detection ideas.
Explore fluid dynamics through group theory, analyzing anomalies and spin-orbit coupling. Delve into color charge dynamics using edge modes in nonabelian gauge theories, leading to QCD color flow equations.
Explore precise predictions for the Migdal effect in particle scattering, including its relevance to dark matter detection and the potential of the HydroX proposal for enhanced sensitivity.
Explore machine learning techniques in knot theory, focusing on learning 4D topological invariants from the Jones polynomial and their implications for understanding knot structures.
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